Naoki Abe
Artificial Intelligence · 1998–2007
A researcher in the Science corpus: 6 papers; trusts 25 researchers and is trusted by 52 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 13 citations into it; #4,029 of 35,345 by trust here, #7,471 by citations
- Reinforcement Learning — 12 citations into it; #1,716 of 2,242 by trust here, #1,973 by citations
- Statistical Learning Theory — 9 citations into it
- Optimization & Training — 6 citations into it
Whom Naoki Abe trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoav Freund
- Robert E. Schapire
- Michael Kearns
- Peter Auer
- Dit-Yan Yeung
- Aleksandar Lazarevic
- J. Ross Quinlan
- Ben J. A. Kröse
- Richard S. Sutton
- Pedro M. Domingos
Who trusts Naoki Abe overall
- Burr Settles
- Zhi-Hua Zhou
- Lihong Li
- Nicholas A. Roy
- Charu C. Aggarwal
- Alina Beygelzimer
- Sheila Tejada
- Claudio Persello
- J. Langford
- Devis Tuia
Papers from Naoki Abe's perspective
Ordered by how strongly the researchers Naoki Abe trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- Reinforcement Learning: An Introduction
- Long Short-Term Memory
- Regression Shrinkage and Selection via the Lasso
- Attention is All you Need (Neural Information Processing Systems)
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
Their papers
- Sequential cost-sensitive decision making with reinforcement learning (2002) — 89 citations
- Cost-sensitive learning by cost-proportionate example weighting (2003) — 758 citations
- Reinforcement Learning with Immediate Rewards and Linear Hypotheses (2003) — 130 citations
- Temporal causal modeling with graphical granger methods (2007) — 336 citations
- Outlier detection by active learning (2006) — 368 citations
- Query Learning Strategies Using Boosting and Bagging (1998)